Dear Colleagues

Dear Colleagues Reliable Computing (2006) 12: 403–404 c Springer 2006 DOI: 10.1007/s11155-006-9010-9 This special issue is the first of a three part series that focuses on emerging tech- nologies for reliable engineering analysis and design. The papers represent selected contributions to the National Science Foundation workshop on Reliable Engi- neering Computing held September 2004 at the Center for Reliable Engineering Computing, Georgia Tech Savannah. One of the main objectives of engineering practice is to achieve reliable and robust designs. However, the quality and reliability of the design tools plays a main role in achieving this objective. Design tools include mathematical models, algorithms, and numerical methods for analysis, optimization, and system simula- tion. Prediction of an engineering system behavior depends to a large extend on the verification and validation processes, where verification is understood as the process of evaluating the quality of the computed results in reflecting the behavior of a mathematical model, and validation is the process of evaluating the reliability of a mathematical model in reflecting reality. In this context, reliable engineering computing, as we understand it, requires that computing systems accommodate several sources of uncertainty and errors with a focus on self-verifying methods. In the case of a mechanical http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Reliable Computing Springer Journals

Dear Colleagues

Reliable Computing , Volume 12 (6) – Oct 25, 2006

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Publisher
Springer Journals
Copyright
Copyright © 2006 by Springer Science + Business Media B.V.
Subject
Mathematics; Numeric Computing; Mathematical Modeling and Industrial Mathematics; Approximations and Expansions; Computational Mathematics and Numerical Analysis
ISSN
1385-3139
eISSN
1573-1340
D.O.I.
10.1007/s11155-006-9010-9
Publisher site
See Article on Publisher Site

Abstract

Reliable Computing (2006) 12: 403–404 c Springer 2006 DOI: 10.1007/s11155-006-9010-9 This special issue is the first of a three part series that focuses on emerging tech- nologies for reliable engineering analysis and design. The papers represent selected contributions to the National Science Foundation workshop on Reliable Engi- neering Computing held September 2004 at the Center for Reliable Engineering Computing, Georgia Tech Savannah. One of the main objectives of engineering practice is to achieve reliable and robust designs. However, the quality and reliability of the design tools plays a main role in achieving this objective. Design tools include mathematical models, algorithms, and numerical methods for analysis, optimization, and system simula- tion. Prediction of an engineering system behavior depends to a large extend on the verification and validation processes, where verification is understood as the process of evaluating the quality of the computed results in reflecting the behavior of a mathematical model, and validation is the process of evaluating the reliability of a mathematical model in reflecting reality. In this context, reliable engineering computing, as we understand it, requires that computing systems accommodate several sources of uncertainty and errors with a focus on self-verifying methods. In the case of a mechanical

Journal

Reliable ComputingSpringer Journals

Published: Oct 25, 2006

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